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Himalayas · Partner listing

LLM Engineer

KDCI

⌖ WorldwideSalary not providedRemoteNot specified · Full-time

Source: Himalayas ↗

Location & working arrangement

Working arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.

Provider location / applicant eligibility: Worldwide

About the role

Role Summary KDCI Outsourcing is looking for an LLM Engineer to design, fine-tune, and deploy large language model solutions that solve real business problems. You'll work across the model lifecycle — from prompt and architecture design to evaluation and production monitoring — collaborating with product and engineering teams to ship reliable AI features. Key Responsibilities Design, fine-tune, and optimize large language models for specific use cases Build and maintain evaluation harnesses to measure model quality and safety Implement RAG (retrieval-augmented generation) pipelines and prompt strategies Monitor model performance in production and iterate on improvements Collaborate with product and engineering teams to integrate LLM features Stay current with emerging LLM research, architectures, and tooling Requirements Requirements 3+ years of hands-on experience with large language models and NLP Strong understanding of transformer architectures (GPT, BERT, LLaMA, etc.) Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience with fine-tuning, prompt engineering, and hyperparameter optimization Track record of deploying ML/LLM systems in production environments Nice-to-Haves Experience with vector databases and RAG pipelines Familiarity with model quantization and inference optimization Background in AI safety or content moderation systems Highlights Build and deploy cutting-edge LLM solutions using AI, RAG, and modern ML frameworks. Originally posted on Himalayas

Skills mentioned in the listing

PythonNatural language processingPyTorchTensorFlow

Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.

Why these skills appear

Python · requirement-context
standing of transformer architectures (GPT, BERT, LLaMA, etc.) Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience with fine-tuning, prompt engineering, and hyperparameter optimization

Natural language processing · requirement-context
ts Requirements 3+ years of hands-on experience with large language models and NLP Strong understanding of transformer architectures (GPT, BERT, LLaMA, etc.) Proficiency in Python and ML frameworks such as PyTorch o

PyTorch · requirement-context
ures (GPT, BERT, LLaMA, etc.) Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience with fine-tuning, prompt engineering, and hyperparameter optimization Track record of deploying ML/LLM

TensorFlow · requirement-context
BERT, LLaMA, etc.) Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience with fine-tuning, prompt engineering, and hyperparameter optimization Track record of deploying ML/LLM systems in